Overview In this Data Engineer role, you will design and build data solutions within our international data squad, delivering impactful, scalable pipelines. You collaborate across multidisciplinary teams in an AGILE environment, taking ownership from design to deployment. You'll work on cutting-edge data-powered projects using modern tech to advance client solutions. This role offers flexible work from home or in-office, with a strong emphasis on practical impact and continuous learning.

Compensaciones / Ventajas Flexible schedule

Fully remote work (optional)

Flexible compensation (restaurant, transport, childcare)

Health insurance with dental co-payment

Training budget and Microsoft certifications

English lessons

Responsabilidades Participate in design and development of data solutions for challenging projects

Develop projects from scratch with strong team collaboration

Promote best practices, clean and reusable code

Build ETLs using Spark (Python/Scala)





Work on cloud-based projects (Azure/AWS)

Build scalable data pipelines using various technologies

Contribute to CI/CD for data pipelines

Engage in testing (unit, integration) and data transformation workflows with DBT

Requisitos principales 4+ years of data engineering experience

Proficiency in Python or Scala and Spark for large datasets

Solid experience with cloud platforms (Azure or AWS)

Experience with Snowflake

Hands-on data pipeline development

Experience with testing (unit, integration)

Experience with DBT for data transformation and modelling

DBT core/cloud knowledge

SQL and NoSQL knowledge

Fluent English (bonus)

Strong team player mindset team collaboration proactive communication problem-solving

Python

Scala

Spark

📌 Senior Data Engineer (León)
🏢 Plain Concepts
📍 León